Context-sensitive gender inference of named entities in text

•We create four open-source datasets for identifying the gender of named entities.•Propose a novel transformer-based architecture for gender tagging of named entities.•Present multiple supervised and unsupervised learning baselines for gender inference.•Context-sensitive supervised learning outperforms database-reliant gender tagging.